Abstraction Layer to Cloud Services

ABSTRACT

Aspects of the disclosure relate to providing cloud computing resources from one or more cloud service providers for a client computing device through a computing platform. The client computing device may benefit from an economy of scale while being able to obtain different types of cloud services over a plurality of cloud providers. The client computing device may request an initial amount of cloud services and subsequently may request cloud services that utilize a requested amount of cloud resources. The requested amount of cloud resources may be apportioned among the plurality of cloud service providers, to provide the requested cloud service. The computing platform may also support a cloud abstraction layer interacting between client computing device and one or more cloud providers so that the client computing device can obtain cloud service in a transparent manner.

FIELD

Aspects of the disclosure relate to a client computing device obtainingcomputing services, through a computing platform, from one or morecloud-based providers.

BACKGROUND

Cloud-based computing is a term that refers to applications, services,or resources made available to users on demand via the Internet througha cloud provider's servers. Users typically utilize cloud-basedproviders as a way to increase capacity, enhance functionality, or addservices on demand without having to commit to potentially expensiveinfrastructure costs.

A significant benefit of using a cloud service provider (CSP) is theefficiency and economies of scale. Rather than users (for example,individuals and companies) building their own infrastructure to supportinternal services and applications, the services may be purchased fromthe CSP, which provide the services to many customers from a sharedinfrastructure. Any approaches that facilitate obtaining cloud serviceswould be beneficial.

SUMMARY

Aspects of the disclosure provide effective, efficient, scalable, andconvenient technical solutions that address and overcome the technicalproblems associated with providing cloud computing services. Inparticular, one or more aspects of the disclosure provide techniques forre-allocating cloud resources to a client computing device through acontrol point (for, example a proxy server).

In accordance with one or more embodiments, a computing platformreceives a resource request from a client computing device for cloudresources that were previously procured from one or more cloud serviceproviders. The resource request may include various parameters,including an initial amount of resources and a type of cloud service tobe re-allocated to the client computing device. The re-allocated cloudresources may span one or more of the cloud service providers. Theinitial amount of cloud resources is subsequently reduced by the amountof cloud resources utilized by the client computing device.

In accordance with one or more embodiments, when a computing platformgrants (re-allocates) cloud resources to a client computing device, thecomputing platform sends a service credential to the client computingdevice. The service credential may be a piece of data used by the clientcomputing device to subsequently obtain cloud services.

In accordance with one or more embodiments, the computing platform maygenerate the service credential by processing one or more parametersassociated with the client computing device through a cryptographicfunction (for example, hash function).

In accordance with one or more embodiments, when a client computingdevice requests cloud services from the computing platform after cloudresources have been re-allocated to the client computing device, theclient computing device presents a valid service credential to thecomputing platform.

In accordance with one or more embodiments, when a computing platformreceives a valid service request for a requested amount of resourcesthat does not exceed available cloud resources for the client computingdevice, the computing platform obtains the requested amount of resourcesfrom one or more cloud providers.

In accordance with one or more embodiments, a computing platform obtainscloud resources from a plurality of cloud service providers in responseto a request form a client computing device. The requested amount ofcloud resources may be partitioned among the plurality of cloud serviceproviders.

In accordance with one or more embodiments, a first client computingdevice may sublet a portion of available cloud resources to a secondclient computing device if approved by a computing platform thatpreviously granted cloud resources to the first client computing device.When the subletting is approved by the computing platform, the computingplatform may provide a service credential to the second client computingdevice so that the second client device may obtain cloud resourcesthrough the computing platform. Subletting may be extended to additionaltiers, where the second client computing device may further sublet cloudresources to a third client computing device, and so forth.

In accordance with one or more embodiments, available cloud resourcesmay be advertised in a particular marketplace.

In accordance with one or more embodiments, allocation of cloudresources may dynamically change among a plurality of cloud serviceproviders.

In accordance with one or more embodiments, cloud resources may bere-allocated to a client computing device based on a geographic locationof the client computing device.

In accordance with one or more embodiments, re-allocated cloud resourcesfor a client computing device may be restricted during a specified timeof service.

In accordance with one or more embodiments, a computing platform (forexample, a control point or proxy server) may interact with a clientcomputing device through a cloud abstraction layer to provide cloudservices to the client computing device. The cloud abstraction layerprovides requested cloud services while providing transparency withrespect to the cloud service providers supporting the cloud services.

In accordance with one or more embodiments, a cloud abstraction layerincludes cloud service handler, cloud distribution, and cloud selectionsub-layers. An objective of the service handler sub-layer is to verify aservice request from a client computing device. When verified, cloudservice handler layer forwards the service request to the clouddistribution sub-layer, which generates a candidate list of cloudservice providers that can support the requested cloud service. Thecloud distribution sub-layer then forwards the service request with thecandidate list to the cloud selection sub-layer. The cloud distributionsub-layer then selects one or more cloud service providers from thecandidate list to provide the requested cloud services to the clientcomputing device.

In accordance with one or more embodiments, a plurality of cloud serviceproviders may be included in a candidate list. The cloud selectionsub-layer may apportion a service request among the plurality of cloudservice providers to provide the requested cloud service to the clientcomputing device.

In accordance with one or more embodiments, a service request mayinclude a first data payload and a service response may include a seconddata payload. The payloads may be transported through the cloudabstraction layer.

In accordance with one or more embodiments, a service token may beforwarded from a cloud service provider through the cloud abstractionlayer so that a client computing device can establish a service sessionwith the cloud service provider to obtain a requested cloud servicewithout further interaction with the cloud abstraction layer.

These features, along with many others, are discussed in greater detailbelow.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is illustrated by way of example and not limitedin the accompanying figures in which like reference numerals indicatesimilar elements and in which:

FIG. 1 depicts an illustrative computing environment for utilizingmulticomputer processing to provide cloud computing services inaccordance with one or more example embodiments.

FIG. 2 depicts a cloud abstraction layer that supports the computingenvironment shown in FIG. 1 in accordance with one or more exampleembodiments.

FIG. 3 depicts a flowchart illustrating a method that may be performedby the proxy server shown in FIG. 1 in accordance with one or moreembodiments.

FIG. 4 depicts a flowchart illustrating a method that may be performedby the proxy server shown in FIG. 1 in accordance with one or moreembodiments.

FIG. 5 depicts a flowchart that characterizes the cloud abstractionlayer as shown in FIG. 2 in accordance with one or more embodiments.

FIG. 6 depicts a flowchart for a cloud service handler sub-layer shownin FIG. 5 in accordance with one or more example embodiments.

FIG. 7 depicts a flowchart for a cloud distribution sub-layer shown inFIG. 5 in accordance with one or more example embodiments.

FIG. 8 depicts a flowchart for a cloud selection sub-layer shown in FIG.5 in accordance with one or more example embodiments.

FIG. 9 depicts a flowchart for subletting cloud resources that may beperformed by the proxy server shown in FIG. 1 in accordance with one ormore embodiments.

FIG. 10 depicts an illustrative proxy server that supports the computingenvironment shown in FIG. 1 in accordance with one or more exampleembodiments.

FIGS. 11A-11E depict an illustrative event sequence for multicomputerprocessing within the computing environment shown in FIG. 1 inaccordance with one or more example embodiments.

FIG. 12 depicts a data structure mapping cloud service providers toprocured cloud services.

FIG. 13 depicts a data structure mapping client computing devices tore-allocated cloud resources.

DETAILED DESCRIPTION

In the following description of various illustrative embodiments,reference is made to the accompanying drawings, which form a parthereof, and in which is shown, by way of illustration, variousembodiments in which aspects of the disclosure may be practiced. It isto be understood that other embodiments may be utilized, and structuraland functional modifications may be made, without departing from thescope of the present disclosure.

It is noted that various connections between elements are discussed inthe following description. It is noted that these connections aregeneral and, unless specified otherwise, may be direct or indirect,wired or wireless, and that the specification is not intended to belimiting in this respect.

The “cloud” may serve as a base layer for different storage solutions.In accordance with traditional approaches, one picks and chooses onecloud service provider (CSP) over another. One aspect of the disclosuresupports a cloud abstraction layer that enables a computer system of acomputing entity to lift and shift data across a plurality of cloudservice providers. With a digital inventory of cloud resources (dataelements), the computer system can create a marketplace of cloudvendors. For example, CSP A may have different attributes than CSP B.The cloud abstraction layer may be able to move between CSP' s, wherethe CSP is selected at run time. The abstract framework may beindependent of cloud structure. Thus, if the computer system procured 25units on CSP A and 25 units on CSP B, the computer system can offer atotal of 50 units of cloud data (cloud resources). Later, the computersystem may procure more computer resources from one or more CSP' s toobtain more resiliency and better pricing. Moreover, cloud resources canbe lent to other users that may complement the business objectives ofthe computing entity.

With an aspect of the disclosure, cloud services may be exposed asofferings.

With an aspect of the disclosure, cloud services may be based ongeo-locations.

Some aspects of the disclosure relate to provide cloud computingresources spanning one or more cloud service providers for a user (forexample, a client computing device). A computing entity may procurecloud resources from the one or more cloud service providers andre-allocate some of the cloud resources to the user, who may not bedirectly related to the computing entity.

Aspects of disclosure may be advantageous to a user with respect totraditional approaches. For example, a large computing entity mayprocure a large amount of cloud resources that a user (for example, aclient computing device) cannot directly procure. By the computingentity re-allocating cloud resources to the user, the user may benefitfrom the economy of scale that the user could not typically achieve.Moreover, the computing entity may be able to procure a diversity ofcloud services from different cloud providers in accordance with theneeds of the user. Consequently, the user may be able to accessdifferent types of cloud services by obtaining those cloud servicesthrough the computing entity (for example, via a single control point orproxy server) rather than directly obtaining the cloud services from asingle cloud service provider. Also, a user may be able to obtain cloudresources in a transparent manner, where the user may not have explicitknowledge about the cloud service provider(s) supporting the cloudservices.

FIG. 1 depicts illustrative computing environment 100 for utilizingmulticomputer processing to provide cloud computing services inaccordance with one or more example embodiments. Computing environment100 may include one or more computing devices and/or other computersystems. For example, computing environment 100 may include controlpoint computer (for example, proxy server) 101, internal client computer102, external client computers 103-105, internal cloud service computers112-113, and external cloud service computers 110-111.

Cloud computing may be described with respect to the cloud locationand/or the type of service that the cloud is providing. Based on a cloudlocation, one may classify cloud as public, private, hybrid, orcommunity. A public cloud refers to the entire cloud infrastructurebeing located on the premises of a cloud computing company that offersthe cloud service. The location may be separate from the user, who maynot have physical control over the infrastructure. A private cloudrefers to a cloud infrastructure that is solely by one entity(customer/organization). It is typically not shared with others, yet itmay be remotely located. A hybrid cloud refers to both private andpublic clouds, depending on the purpose. For example, a public cloud canbe used to interact with customers, while keeping data secured through aprivate cloud. A community cloud implies a cloud infrastructure that isshared between organizations, usually with the shared data and datamanagement concerns. For example, a community cloud may belong to agovernment of a single country. Community clouds may be located both onand off the premises.

Referring to FIG. 1, cloud service computers 112-113 support a privatecloud while cloud service computers 110-111 support a public cloud.Typically, only internal users (for example, client computer 102) hasaccess to the private cloud while client computers 102-105 (bothinternal and external) may access the public cloud through proxy server101. However, with some embodiments, if a computing entity has asufficient degree of trust with an external user, the external user maybe allowed access to one or more internal cloud service computers111-112.

In addition, cloud services may be categorized as infrastructure(Infrastructure-as-a-Service (IaaS)), platform (Platform-as-a-Service(PaaS)), software (Software-as-a-Service (SaaS), or storage. IaaStypically refers to a cloud service offering data storage disks andvirtual servers corresponding a computing infrastructure. PaaS refers toa cloud service that offers a development platform, including anoperating system, programming language execution environment, database,and web server. SaaS refers to accessing various software applicationson a pay-per-use basis as opposed to buying licensed programs. However,the above categories may not always clear-cut, as cloud providers mayoffer multiple flavors of cloud services, include traditional web orapplication hosting providers.

Referring to FIG. 1, external cloud service computer 110 may supportstorage (for example archiving) service and various softwareapplications while external cloud service computer 111 may supportinfrastructure and software development services.

Computing environment 100 also may include one or more computingplatforms. For example, and as noted above, computing environment 100may include proxy server 101. As illustrated in greater detail below,server 101 may re-allocate procured cloud resources to a user (forexample, client computing device 103) by performing one or more of thefunctions described herein.

Computing environment 100 also may include one or more networks (forexample, networks 120 and 121), which may interconnect server 101,client computing devices 102-105, internal cloud service computers112-113, and external cloud service computers 110-111.

Private network 120 and/or public network 121 may include one or moresub-networks (for example, local area networks (LANs), wide areanetworks (WANs), or the like). Private network 120 may be associatedwith a particular organization (for example, a corporation, financialinstitution, educational institution, governmental institution, or thelike) and may interconnect one or more computing devices associated withthe organization. For example, proxy server 101, client computing device102, and cloud service computers 112-113 may be associated with anorganization (for example, a computing entity), and private network 120may be associated with and/or operated by the organization, and mayinclude one or more networks (for example, LANs, WANs, virtual privatenetworks (VPNs), or the like). Public network 121 may connect privatenetwork 120 and/or one or more computing devices connected thereto withone or more networks and/or computing devices that are not associatedwith the organization. For example, cloud service computers 110-111 maybe owned, operated, and/or serviced by one or more entities differentfrom the organization that operates private network 120, such as one ormore cloud service providers.

With some embodiments, proxy server 101 may support cloud abstractionlayer 151 that supports interaction with client computing devices103-104 for re-allocating cloud services as will be discussed in furtherdetail.

FIG. 2 depicts cloud abstraction layer 151 that supports the computingenvironment shown in FIG. 1 in accordance with one or more exampleembodiments. With some embodiments, cloud abstraction layer 151 includescloud service handler sub-layer 201, cloud distribution sub-layer 202,and cloud selection sub-layer 203. Cloud abstraction layer 151 interactswith client computing devices 251-253 so that client computing devices251-253 may request cloud services from cloud service providers 254-255in a transparent manner so that a user does not need explicitinformation about a cloud service provider supporting a cloud service.

Cloud service handler module 201 handles service requests from clientcomputing devices 251-253 and generates service responses to clientcomputing devices 251-253 in response to the service requests.

Cloud service handler module 201 may also partition user space so thatprivacy (data isolation) is provided to each user. In effect, thisapproach creates a data fence around each user.

Based on the services requested by client computing devices 251-253,cloud distribution sub-layer 202 determines what cloud providers supportthose services and generates a corresponding candidate list.

Cloud selection sub-layer 203 receives the candidate list from clouddistribution sub-layer 202 and selects one or more cloud serviceproviders from the candidate list. When cloud selection sub-layer 203selects a plurality of cloud service providers (for example, cloudservice providers 254 and 255), proxy server 101 may obtain first andsecond portions of cloud resources from cloud service providers 254 and255, respectively.

As will be discussed, a service request and a service response may eachcomprise a header and a data payload. For example, a data payload mayinclude data to be stored at a cloud service provider (corresponding toa service request) or may include data retrieved from a cloud serviceprovider (corresponding to a service response). The header may includevarious parameters. For example, with a service request, the header mayinclude a requested amount of cloud resources and a type of service (forexample, storage or software application).

As will be further discussed, sub-layers 201-203 correspond toflowcharts 501-503 shown in FIGS. 6-8, respectively.

Client computing devices (users) 251-252 are depicted as first tierre-allocation devices because the devices were granted cloud resourcesdirectly from proxy server 101. However, embodiments support subleasingof cloud resources (designated as second tier re-allocation). Forexample, as depicted in FIG. 2, client computing device 253 subletresources from client computing device 252. Embodiments may furtherextend the depth of subletting.

While an embodiment of cloud abstraction layer 151 has been discussedabove, other embodiments may split functionality differently amongsub-layers 201-203 and/or may implement cloud abstraction layer 151 withdifferent sub-layers.

FIG. 3 depicts process 300 illustrating a method that may be performedby proxy server 101 shown in FIG. 1 in accordance with one or moreembodiments. Process 300 represents a high-level process in which a user(client computing device) requests for cloud resources and obtains cloudservices.

At step 301, a computing entity, through proxy server, 101 procurescloud resources from cloud service providers 110 and 111 (as shown inFIG. 1) so that internal users and external users can subsequentlyrequest cloud services in a transparent manner. Procurement includesconsiderations about the anticipated amount of cloud resources that willbe needed as well as the types of services that are supported by thecloud service providers. For example, cloud service provider 110 maysupport only memory storage services while cloud service provider 111may support only various software applications.

At step 302, the computing entity, through proxy server 101, mayre-allocate some of the procured cloud resources to external users103-105 (as shown in FIG. 1). However, before re-allocating cloudresources, the computing entity typically accounts for anticipated cloudresources that will be needed by internal users such as user 102 (asshown in FIG. 1). As will be discussed with FIG. 4, an external user(corresponding to a client computing device) submits a resource requestto proxy server 101for an initial amount of cloud resources.

At step 303, if the resource request is granted, proxy server 101provides the client computing device with a service credential. Theservice credential may be encrypted data that may be presented by theclient computing device to obtain subsequent cloud services throughproxy server 101. The service credential may be generated from a set ofclient parameters (for example, client_ID+amount of available cloudresources to client+permitted service type(s)) and processingconcatenated parameters through a cryptographic function (for example, ahash function).

At step 404, when the user (the client computing device) desires cloudservices, the client computing device presents a service request(typically with the service credential) to proxy server 101 (via cloudabstraction layer 151). If the request is granted, proxy server 101obtains the requested cloud services from one or more of the cloudservice providers (for example, cloud service provider 254 and/or cloudservice provider 255). Cloud service providers may be transparent to therequesting user when obtaining cloud resources for the requested servicetype. For example, the actual cloud service provider(s) providing acloud resources from one service request to another service request maychange and may be transparent to the requesting client computing deviceas long as cloud resources are provided for the requested service type.

While the actual cloud service provider may not be pertinent to theclient computing device when requesting some cloud services, there maybe situations where that is not the case. For example, the clientcomputing device may request storage of a data file, which is physicallystored at cloud service provider 255, for example. The client computingdevice typically does not specify the particular cloud service providerthat actually stores the data. However, the stored data file needs to beaccessed from the same cloud service provider that actually stores thedata file. Consequently, when the client computing device requestsstorage of data, proxy server 101 may include an identification (such asan alias) in the service response so that data can be subsequentlyretrieved from the same cloud service provider that stores the data.When the client computing device subsequently requests that the storeddata be accessed, it may include the identification in the correspondingservice request.

FIG. 4 depicts flowchart 302 illustrating a method that may be performedby the proxy server shown in FIG. 1 in accordance with the process shownin FIG. 3.

At step 401, proxy server 101 of a computing entity determines aprocured amount of cloud resources needed for internal operation (forexample, including client computing device 102 as shown in FIG. 1).However, proxy server 101 may procure more cloud resources thananticipated for internal use for various reasons. For example, computingentity may obtain better pricing for a larger amount.

At step 402, proxy server 101 determines an amount of cloud resourcesthat can be re-allocated to external users (for example, clientcomputing devices 403-405). For example, proxy server 101 may subtractthe amount for internal use plus a margin of error from the procuredamount.

When an external computing device requests that a requested amount ofcloud services be re-allocated, proxy server 101 may accept the resourcerequest at step 403. If so, proxy server 101 adjusts the amount ofavailable cloud resources that may be re-allocated for subsequentresource requests at step 404.

FIG. 5 depicts flowchart 304 that characterizes cloud abstraction layer151 as shown in FIG. 2 in accordance with one or more embodiments. Withsome embodiments, cloud abstraction layer 151 comprises cloud servicehandler sub-layer 501, cloud distribution sub-layer 502, and cloudselection sub-layer 503. As will be discussed in further detail, servicerequest 551 from a client computing device is initially processed bycloud service handler sub-layer 501, which then forwards the processedservice request to cloud distribution sub-layer 502. The furtherprocessed service request is then forwarded to cloud selection sub-layer503, which then sends the processed request to one or more selectedcloud service providers 254,255.

In response to a service request, the selected cloud service provider254,255 returns a service response that is processed by sub-layers 503,502, and 501, respectively, thus providing service response 552 to theclient computing device. For example, an accessed data block may beprovided that was previously stored for the client computing device.

As previously discussed, service request 551 and service response 552may each comprise a header and a data payload. For example, a datapayload may include data to be stored at a cloud service provider(corresponding to a service request) or may include data retrieved froma cloud service provider (corresponding to a service response). Asanother example, a data payload associated with service response 552 mayrepresent text and/or video output of a software application. The headermay include various parameters. For example, with a service request theheader may include a requested amount of cloud resources and a type ofservice (for example, storage or software application).

With some embodiments, cloud abstract layer 151 may transport the datapayload. However, when the data payload is sufficiently large, it may bemore efficient to transport the data payload via a different/separatepath from the rest of the service request or service response. As willbe further discussed, a service token may be provided via cloud abstractlayer 151 to a client computing device. With this approach, the clientcomputing device can establish a communication connection directlybetween the client computing device and the selected cloud serviceprovider by presenting the service token so that the requested cloudservices can be provided to the client computing device.

With some embodiments, a data payload may be transported by cloudabstract layer 151 when the size of the payload less than apredetermined size. Otherwise, the data payload may be transported via aseparate path as described above.

Cloud service handler sub-layer 501, cloud distribution sub-layer 502,and cloud selection sub-layer 503 are discussed in further detail withFIGS. 6, 7, and 8, respectively.

FIG. 6 depicts a flowchart for cloud service handler sub-layer 501 shownin FIG. 5 in accordance with one or more example embodiments.

At step 601, a client computing device submits a service request forcloud service to proxy server 101. With some embodiments, the servicerequest may include various parameters and a data payload. Theparameters may include a requested amount of cloud resources (forexample, measured in units). With some embodiments, the service requestincludes a service credential that the client computing devicepreviously obtained from proxy server 101 in response to a grantedresource request. If so, the submitted service credential is verified bycloud service handler sub-layer 501 at step 602. If cloud servicehandler sub-layer 501 determines that the service credential is valid,cloud service handler sub-layer 501 continues to process the servicerequest. Otherwise, the service request is rejected at step 605.

With some embodiments, the service credential may be encrypted based onvarious parameters including the amount of available cloud resourcesremaining for the client computing device. If so, proxy server 101 (viacloud service handler sub-layer 501) may modify the service credentialwhen the available amount changes and return the modified servicecredential to the client computing device for subsequent servicerequests.

At step 603 cloud service handler sub-layer 501 determines whether therequest amount of cloud resources exceeds the available amount remainingfor the client computing device. If so, the service request is denied atstep 606.

At step 604, cloud service handler sub-layer 501 extracts the requestedservice type (for example, storage, infrastructure, developmentplatform, and/or software applications) and the requested amount ofcloud resources, and forwards the processed service request to clouddistribution sub-layer 502.

FIG. 7 depicts flowchart 502 for a cloud distribution sub-layer shown inFIG. 5 in accordance with one or more example embodiments.

At step 701 cloud distribution sub-layer 502 determines what cloudservice providers (for example, cloud providers 254 and 255 as shown inFIG. 2) can support the request service types. Cloud distributionsub-layer 502 then generates a candidate list of cloud service providersat step 702 and forwards the processed service request to cloudselection sub-layer 503 at step 703. With some embodiments, theprocessed service request may include a data payload.

FIG. 8 depicts flowchart 503 for cloud selection sub-layer 703 shown inFIG. 5 in accordance with one or more example embodiments.

At step 801 cloud selection sub-layer 503 receives and processes thecandidate list obtained from cloud distribution sub-layer 502. With someembodiments, cloud selection sub-layer 503 may remove a candidate fromthe list because not enough cloud resources are available from thecandidate service provider to satisfy the requested cloud resourcescontained in the service request. However, with some embodiments cloudselection sub-layer 503 may balance the service request among aplurality of candidates at step 802. For example, when some of thecandidates cannot individually provide enough cloud resources, cloudresources can be combined from a combination of cloud service providers.Extending the example, one potion of a data block may be stored atservice provider A and another portion of the data block may be storedat service provider B as performed at step 803.

As discussed above, sub-layers 501-503 process a service request from aclient computing device. Also, sub-layers 501-503 may process a responsefrom cloud service providers in order to deliver a cloud service to theclient computing device. For example, sub-layers 501-503 may deliveraccessed data that was previously stored or processed data from asoftware application.

While cloud services may be provided in two stages (for example,re-allocating cloud resources followed by responding to a servicerequest), some embodiments may do so in one stage. For example, aservice request may implicitly request for a necessary amount of cloudresources to support the requested cloud service.

FIG. 9 depicts flowchart 900 for subletting cloud resources that may beperformed by proxy server 101 shown in FIG. 1 in accordance with one ormore embodiments. As discussed with FIG. 4, a user (client computingdevice) may have cloud resources re-allocated by proxy server 101.Referring to FIG. 2, re-allocation of cloud resources directly from acomputing entity (via proxy server 101) may be referred as first tierre-allocation (as shown with user 252). Moreover some embodiments maysupport the ability of user 252 to sublease some or all of there-allocated cloud resources to user 253 (which may be referred assecond tier re-allocation).

Referring back to FIG. 9, at step 901 a client computing device(sublessor) requests to sublet cloud resources to another clientcomputing device user (sublessee). The request may include variousparameters including an amount of cloud resources being sublet and anidentification of the user that the cloud resources are being sublet to.With some embodiments, the subletting must be approved in order tosublet the cloud resources so that the computing entity can control whois using cloud resources through proxy server 101. For example, thecomputing entity may not want a competing entity from accessing cloudresources procured by the computing entity.

At step 902, proxy server 101 verifies the service credential (which waspreviously issued when the user was granted re-allocated cloudresources) of the computing computer device. If the service credentialis not valid, the subletting request is rejected at step 906.

At step 903, proxy server 101 determines whether the client computingdevice has enough available amount cloud resources to cover the amountthat is being sublet. While the available amount may be determined fromthe encrypted service credential, some embodiments may map the availableamount to the client computer device in a data structure (not explicitlyshown). If the client computing device does not have enough cloudresources to cover the subletting, the request is denied by proxy server101 at step 907.

At step 904, proxy server 101 reduces the available resource units forthe sublessor by the amount of resources being sublet. A servicecredential is provided to the sublessee at step 905. With someembodiments, a modified service credential may be provided to thesublessor when the service credential is at least partially based on theavailable units of cloud resources.

FIG. 10 depicts illustrative proxy server 101 that supports thecomputing environment shown in FIG. 1 in accordance with one or moreexample embodiments. Proxy server 101 may include one or more processors1001, memory 1002, cloud service interface 1008, and client interface1009. A data bus may interconnect processor(s) 1001, memory 1002, andcommunication interfaces 1008-1009.

Cloud services interface 1008 may be a network interface configured tosupport communications between proxy server 101 and cloud servicecomputers 110-113 when obtaining cloud resources and services. Clientinterface 1009 may be a network interface configured to supportcommunications between proxy server 101 and client computing devices102-105. Corresponding messaging will be further discussed with FIGS.11A-E.

Memory 1002 may include one or more program modules having instructionsthat when executed by processor(s) 201 cause event tracking server 101to perform one or more functions described herein and/or one or moredatabases that may store and/or otherwise maintain information which maybe used by such program modules 1003-1007 and/or processor(s) 201. Insome instances, the one or more program modules and/or databases may bestored by and/or maintained in different memory units of proxy server101 and/or by different computing devices that may form and/or otherwisemake up proxy server 101. For example, memory 202 may have, store,and/or include cloud selection module 1003, cloud distribution module1004, cloud service handler module 1005, resource re-allocation module1006, and credentials module 1007.

Cloud service handler module 1005, cloud distribution module 1004, andcloud selection module 1003 may comprise computer-executableinstructions that direct and/or cause proxy server 101 to supportsub-layers 201-203, respectively as shown in FIG. 2, of cloudabstraction layer 151 as previously discussed with FIGS. 2 and 5.

Resource re-allocation module 1006 may comprise computer-executableinstructions that direct and/or cause proxy server 101 to re-allocatecloud resources to a client computing device as discussed with FIG. 4.

Credentials module 1007 may comprise computer-executable instructionsthat direct and/or cause proxy server 101 to generate a servicecredential for a client computing device when cloud resources have beenre-allocated to the client computing device. The client computing devicemay subsequently present the service credential when requesting cloudservices through proxy server 101. Credentials module 1007 may generatethe service credential by processing various parameters (for example, byconcatenating parameters client ID and available units of cloudresources for the client computing device) through a hashing function.

With some embodiments, modules 1003-1007 may be embodied incomputer-executable code that is stored in one or more memory devices(for example, memory 1002) and executed by one or more computer devices(for example, processor 1001) and/or embodied in hardware/firmwarecomponents such as integrated circuits, application-specific integratedcircuits (ASICs), field executable gate arrays, and the like.

FIGS. 11A-11E depict an illustrative event sequence for multicomputerprocessing within the computing environment shown in FIG. 1 inaccordance with one or more example embodiments.

Referring to FIG. 11A, proxy server 101 (corresponding to a computingentity) procures cloud resources from cloud service providers 110-111 atsteps 1101-1104. As an example, 50 units and 100 unit are procured fromcloud service providers 110 and 111, respectively. The procured cloudresources (150 units) may be subsequently expended for usage within thecomputing entity and/or re-allocation to external users.

At step 1105, first client computing device 103 requests 50 units. Proxyserver 101 accepts the resource request and returns a service credentialto first client computing device 103 at step 1106. First clientcomputing device 103 will subsequently present the service credentialwhen it requests cloud services from proxy server 101. The computingentity now has 100 units that can be used for internal usage and/orre-allocation.

With some embodiments, the service credential may be generated byencrypting various parameters including the amount available units andmay be regenerated when the amount of available units changes.

Referring to FIG. 11B, first client computing device 103 submits aservice request for 20 units of cloud service at step 1107. The satisfythis request, proxy server 101 obtains 10 units of resources from firstcloud service provider 110 and 10 units of resources from second cloudservice provider 111 at steps 1108 and 1109, respectively. When theservice requests are acknowledged at steps 1110-1111, proxy server 101returns a service response to first client computing device 103.Subsequently, first client computing device 103 has 30 units ofavailable cloud resources because 20 units have been expended for therequested cloud service.

Referring to FIG. 11C, first client computing device 103 submits arequest to sublet 10 units of its available 30 units to second clientcomputing device 104. Proxy server 101 accepts the request and sends amodified service credential (to reflect the changed amount of availableunits) at step 1114 and another service credential to second clientcomputing device 105 so that it can submit a service request. Firstclient computing device 103 now has 20 available units and second clientcomputing device 104 has 10 units.

With some embodiments, subletting may occur at further levels. Forexample, referring to FIG. 11D, second client computing device 104requests to sublet 5 units of its 10 available units at step 1116. Proxyserver 101 accepts the request and sends a modified service credentialto second client computing device 104 and another service credential tothird client computing device 105 at steps 1117 and 1118, respectively.First client computing device 103 now has 20 units while second andthird computing devices 104 and 105 both have 5 units.

With some embodiments, a client computing device may request foradditional cloud resources. Referring to FIG. 11E, first clientcomputing device 103 requests for 10 additional units at step 1119. Whenproxy server 101 accepts the request at step 1120, first clientcomputing device 103 now has 30 available units while the computingentity has 90 units.

FIG. 12 depicts data structure 1200 mapping cloud service providers 1201to procured cloud services. The procured cloud services may be specifiedby procured units of service 1202 and an associated type of service1203. In the example shown in FIG. 1200, different types of service maybe specified, including storage with different access rates, differentsoftware applications, development, and infrastructure. Data structure1200 may be accessed by proxy server 101 when re-allocating resources toclient computing devices to verify that enough cloud resources areavailable.

FIG. 13 depicts data structure 1300 mapping client computing devices1301 to re-allocated cloud resources 1301. Additional service attributesmay be included, including type of service 1303 and activation time1304. For example, cloud resources for a client computing device may beavailable during prime hours (weekdays from 0900-1700), non-prime hours,or all times. Data structure 1300 may be accessed by proxy server 101when determining whether a client computing device has sufficientavailable cloud resources when requesting for a cloud service.

One or more aspects of the disclosure may be embodied in computer-usabledata or computer-executable instructions, such as in one or more programmodules, executed by one or more computers or other devices to performthe operations described herein. Generally, program modules includeroutines, programs, objects, components, data structures, and the likethat perform particular tasks or implement particular abstract datatypes when executed by one or more processors in a computer or otherdata processing device. The computer-executable instructions may bestored as computer-readable instructions on a computer-readable mediumsuch as a hard disk, optical disk, removable storage media, solid-statememory, RAM, and the like. The functionality of the program modules maybe combined or distributed as desired in various embodiments. Inaddition, the functionality may be embodied in whole or in part infirmware or hardware equivalents, such as integrated circuits,application-specific integrated circuits (ASICs), field programmablegate arrays (FPGA), and the like. Particular data structures may be usedto more effectively implement one or more aspects of the disclosure, andsuch data structures are contemplated to be within the scope of computerexecutable instructions and computer-usable data described herein.

Various aspects described herein may be embodied as a method, anapparatus, or as one or more computer-readable media storingcomputer-executable instructions. Accordingly, those aspects may takethe form of an entirely hardware embodiment, an entirely softwareembodiment, an entirely firmware embodiment, or an embodiment combiningsoftware, hardware, and firmware aspects in any combination. Inaddition, various signals representing data or events as describedherein may be transferred between a source and a destination in the formof light or electromagnetic waves traveling through signal-conductingmedia such as metal wires, optical fibers, or wireless transmissionmedia (for example, air or space). In general, the one or morecomputer-readable media may be and/or include one or more non-transitorycomputer-readable media.

As described herein, the various methods and acts may be operativeacross one or more computing servers and one or more networks. Thefunctionality may be distributed in any manner, or may be located in asingle computing device (for example, a server, a client computer, andthe like). For example, in alternative embodiments, one or more of thecomputing platforms discussed above may be combined into a singlecomputing platform, and the various functions of each computing platformmay be performed by the single computing platform. In such arrangements,any and/or all of the above-discussed communications between computingplatforms may correspond to data being accessed, moved, modified,updated, and/or otherwise used by the single computing platform.Additionally or alternatively, one or more of the computing platformsdiscussed above may be implemented in one or more virtual machines thatare provided by one or more physical computing devices. In sucharrangements, the various functions of each computing platform may beperformed by the one or more virtual machines, and any and/or all of theabove-discussed communications between computing platforms maycorrespond to data being accessed, moved, modified, updated, and/orotherwise used by the one or more virtual machines.

Aspects of the disclosure have been described in terms of illustrativeembodiments thereof. Numerous other embodiments, modifications, andvariations within the scope and spirit of the appended claims will occurto persons of ordinary skill in the art from a review of thisdisclosure. For example, one or more of the steps depicted in theillustrative figures may be performed in other than the recited order,and one or more depicted steps may be optional in accordance withaspects of the disclosure.

What is claimed is:
 1. A computing platform, comprising: at least oneprocessor; a cloud services interface communicatively coupled to the atleast one processor with one or more cloud service providers; a clientinterface coupled to the at least one processor with one or more clientcomputing devices; a cloud service handler module storingcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: when a servicerequest from a client computing device is received through the clientinterface, extracting a service type, an identification of the clientcomputing device, and a requested amount of cloud resources; and whenthe requested amount of cloud resources does not exceed the remainingamount of cloud resources remaining for the client computing device,forwarding the service request with the extracted service type and theextracted requested amount of cloud resources to a cloud distributionmodule; the cloud distribution module storing computer-readableinstructions that, when executed by the at least one processor, causethe computing platform to perform: generating a candidate list of cloudservice providers supporting the extracted service type; and forwardingthe service request with extracted request amount and the candidate listto a cloud selection module; and the cloud selection module storingcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: selecting at leastone cloud service provider from the candidate list; and forwarding,through the cloud services interfaces, the service request to a selectedat least one cloud service provider, wherein the selected at least onecloud service provider provides requested cloud resources to the clientcomputing device.
 2. The computing platform of claim 1, wherein thecloud service handler module storing computer-readable instructionsthat, when executed by the at least one processor, further cause thecomputing platform to perform: extracting a service credential from theservice request; when the service credential is valid, proceeding toprovide cloud services for the client computing device; and when theservice credential is invalid, rejecting the service request.
 3. Thecomputing platform of claim 1, wherein the cloud service handler modulestoring computer-readable instructions that, when executed by the atleast one processor, further cause the computing platform to perform:reducing the remaining amount of cloud resources for the clientcomputing device by the requested amount.
 4. The computing platform ofclaim 1, wherein the cloud service handler module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform: when therequested amount of cloud resources exceeds the remaining amount,denying the service request.
 5. The computing platform of claim 1,wherein the at least one cloud service provider includes a first cloudservice provider and a second cloud service provider and wherein thecloud distribution module storing computer-readable instructions that,when executed by the at least one processor, further cause the computingplatform to perform: when the first and second cloud service providerssupport the extracted service type, including the first and second cloudservice providers in the candidate list.
 6. The computing platform ofclaim 5, wherein the cloud selection module storing computer-readableinstructions that, when executed by the at least one processor, furthercause the computing platform to perform: apportioning the servicerequest between the first and second cloud service providers to providethe requested cloud resources to the client computing device.
 7. Thecomputing platform of claim 1, wherein the cloud distribution modulestoring computer-readable instructions that, when executed by the atleast one processor, further cause the computing platform to perform:when the service request specifies only a single cloud service provider,including only the single cloud service provider in the candidate list.8. The computing platform of claim 1, wherein the at least one cloudservice provider includes a first cloud service provider and a secondcloud service provider and wherein the cloud selection module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform: removing,from the candidate list, any cloud service providers supporting aninsufficient amount of cloud resources.
 9. The computing platform ofclaim 1, wherein the at least one cloud service provider includes afirst cloud service provider and a second cloud service provider andwherein the cloud selection module storing computer-readableinstructions that, when executed by the at least one processor, furthercause the computing platform to perform: balancing service requestsbetween the first and second cloud service providers.
 10. The computingplatform of claim 1, wherein: the service request includes a header anda first data payload; the cloud service handler module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform forwardingthe first data payload to the cloud selection module through the clouddistribution module; and the cloud selection module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform forwardingthe first data payload to the at least one cloud service provider. 11.The computing platform of claim 1, wherein: the cloud selection modulestoring computer-readable instructions that, when executed by the atleast one processor, further cause the computing platform to performforwarding a service response from the at least one cloud serviceprovider to the cloud service handler module through the clouddistribution module.
 12. The computing platform of claim 11, wherein theservice response includes a second data payload.
 13. The computingplatform of claim 1, wherein: the cloud selection module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform forwarding aservice token from the at least one cloud service provider to the cloudservice handler module through the cloud distribution module, whereinthe service token enables the client computing device to establish aservice session with the selected at least one cloud service providerfor the requested amount of cloud resources.
 14. The computing platformof claim 1, wherein the cloud service handler module storingcomputer-readable instructions that, when executed by the at least oneprocessor, further cause the computing platform to perform: determiningan activation time duration when the client computing device is allowedcloud services; when a time of the service request is within theactivation time duration, continuing with processing the servicerequest; and when the time of the service request is outside theactivation time duration, denying the service request.
 15. A method forproviding cloud resources through a control point, the methodcomprising: when a service request from a client computing device isreceived at a cloud service handler sub-layer, extracting a servicetype, an identification of the client computing device, and a requestedamount of cloud resources; when the requested amount of cloud resourcesdoes not exceed the remaining amount of cloud resources remaining forthe client computing device, forwarding, at the cloud service handlersub-layer, the service request with the extracted service type and theextracted requested amount of cloud resources to a cloud distributionsub-layer; generating, at the cloud distribution sub-layer, a candidatelist of cloud service providers supporting the extracted service type;forwarding, at the cloud distribution sub-layer, the service requestwith extracted request amount and the candidate list to a cloudselection sub-layer; selecting, at the cloud selection sub-layer, atleast one cloud service provider from the candidate list; andforwarding, at the cloud selection sub-layer, the service request to theselected at least one cloud service provider, wherein the selected atleast one cloud service provider provides requested cloud resources tothe client computing device.
 16. A method of claim 15, furthercomprising: extracting, at the cloud service handler sub-layer, aservice credential from the service request; when the service credentialis valid, proceeding, at the cloud service handler sub-layer, to providecloud services for the client computing device; and when the servicecredential is invalid, rejecting, at the cloud service handlersub-layer, the service request.
 17. A method of claim 15, furthercomprising: when the requested amount of cloud resources exceeds theremaining amount, denying, at the cloud service handler sub-layer, theservice request.
 18. A method of claim 15, further comprising when afirst and a second cloud provider support the extracted service type,including, at the cloud distribution sub-layer, the first and secondcloud providers in the candidate list.
 19. A method of claim 18, furthercomprising apportioning, at the cloud selection sub-layer, the servicerequest between the first and second cloud providers to provide therequested cloud resources to the client computing device.
 20. One ormore non-transitory computer-readable media storing instructions that,when executed by a computing platform cause the computing platform to:when a service request from a client computing device is received at acloud service handler sub-layer, extracting a service type, anidentification of the client computing device, and a requested amount ofcloud resources; when the requested amount of cloud resources does notexceed the remaining amount of cloud resources remaining for the clientcomputing device, forwarding, at the cloud service handler sub-layer,the service request with the extracted service type and the extractedrequested amount of cloud resources to a cloud distribution sub-layer;generating, at the cloud distribution sub-layer, a candidate list ofcloud service providers supporting the extracted service type;forwarding, at the cloud distribution sub-layer, the service requestwith extracted request amount and the candidate list to a cloudselection sub-layer; selecting, at the cloud selection sub-layer, atleast one cloud service provider from the candidate list; andforwarding, at the cloud selection sub-layer, the service request to theselected at least one cloud service provider, wherein the selected atleast one cloud service provider provides requested cloud resources tothe client computing device.
 21. A computing platform, comprising: atleast one processor; a cloud services interface communicatively coupledto the at least one processor with at least one cloud service provider;a client interface coupled to the at least one processor with at leastone client computing device; and at least one memory device storingcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: obtaining a procuredamount of cloud resources that are available from the at least one cloudservice provider; receiving, from a first client computing devicethrough the client interface, a first resource request for cloudcomputing resources, wherein: the first resource request is indicativeof a service type and an initial amount of re-allocated cloud resources;the cloud computing services span at least one cloud service provider;and the at least one cloud service provider is transparent to the firstclient computing device; when the initial amount of re-allocated cloudresources does not exceed the procured amount, granting the resourcerequest by sending a first service credential to the first clientcomputing device, wherein the first service credential is indicative ofan identification of the first client computing device; and subsequentlyproviding cloud services to the first client computing device by apresentation of the first service credential.
 22. The computing platformof claim 21, wherein the at least one memory device stores additionalcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: receiving, from thefirst client computing device, a first service request, wherein thefirst service request includes the first service credential and isindicative of a first requested amount of re-allocated cloud resources;validating the first service credential; and in response to thevalidating the first service credential, when the first servicecredential is deemed valid and the first requested amount does notexceed the initial amount, obtaining the first requested amount ofre-allocated cloud resources from the at least one cloud serviceprovider.
 23. The computing platform of claim 22, wherein the at leastone cloud service provider comprises a first and second cloud serviceproviders, wherein the first and second cloud service providers aredifferent, and wherein the at least one memory device stores additionalcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: partitioning thefirst requested amount of re-allocated cloud resources into a firstportion and a second portion; obtaining the first portion from the firstcloud service provider; and obtaining the second portion from the secondcloud service provider.
 24. The computing platform of claim 23, whereinthe at least one memory device stores additional computer-readableinstructions that, when executed by the at least one processor, causethe computing platform to perform: adjusting the initial amount ofre-allocated cloud resources by the first requested amount to obtain anavailable amount of re-allocated cloud facilities available to the firstclient computing device.
 25. The computing platform of claim 24, whereinthe at least one memory device stores additional computer-readableinstructions that, when executed by the at least one processor, causethe computing platform to perform: receiving, from the first clientcomputing device, a second service request, wherein the second servicerequest includes a second requested amount of re-allocated cloudresources; when the second requested amount does not exceed the adjustedinitial amount, obtaining the requested amount of re-allocated cloudresources from the at least one cloud service provider; and when thesecond requested amount exceeds the adjusted initial amount, denying thesecond service request.
 26. The computing platform of claim 21, whereinthe at least one memory device stores additional computer-readableinstructions that, when executed by the at least one processor, causethe computing platform to perform: encrypting the first servicecredential based on the identification of first client computing device.27. The computing platform of claim 26, wherein the at least one memorydevice stores additional computer-readable instructions that, whenexecuted by the at least one processor, cause the computing platform toperform: generating the first service credential by processing datathrough a hashing function, wherein the data is representative of atleast one parameter associated with the first resource request.
 28. Thecomputing platform of claim 21, wherein the at least one memory devicestores additional computer-readable instructions that, when executed bythe at least one processor, cause the computing platform to perform:adjusting the procured amount by an internal amount of cloud resources,wherein the internal amount is assigned to internal client computingdevices.
 29. The computing platform of claim 28, wherein the at leastone memory device stores additional computer-readable instructions that,when executed by the at least one processor, cause the computingplatform to perform: receiving, from a first client computing devicethrough the client interface, a second resource request for anadditional amount cloud resources; and when the additional amount ofcloud resources does not exceed the adjusted procured amount, grantingthe second resource request.
 30. The computing platform of claim 21,wherein the at least one memory device stores additionalcomputer-readable instructions that, when executed by the at least oneprocessor, cause the computing platform to perform: receiving, from thefirst client computing device, a first subletting request to sublet afirst specified amount of re-allocated cloud resources to a secondclient computing device; and when the first subletting request isapproved, sending a second service credential to the second clientcomputing device; adjusting an available amount of cloud resources forthe first client computing device by the first specified amount; andsubsequently providing cloud services to the second client computingdevice by a presentation of the second service credential.
 31. Thecomputing platform of claim 30, wherein the at least one memory devicestores additional computer-readable instructions that, when executed bythe at least one processor, cause the computing platform to perform:modifying the first service credential based on the adjusted availableamount of cloud resources; and sending the modified first servicecredential to the first client computing device.
 32. The computingplatform of claim 30, wherein the at least one memory device storesadditional computer-readable instructions that, when executed by the atleast one processor, cause the computing platform to perform: when thefirst specified amount exceeds the adjusted available amount of cloudresources, denying the first subletting request.
 33. The computingplatform of claim 30, wherein the at least one memory device storesadditional computer-readable instructions that, when executed by the atleast one processor, cause the computing platform to perform: receiving,from the second client computing device, a second subletting request tosublet a second specified amount of re-allocated cloud resources to athird client computing device; and when the second subletting request isapproved, sending a third service credential to the third clientcomputing device; adjusting a second available amount of cloud resourcesfor the second client computing device by the second specified amount;and subsequently providing cloud services to the third client computingdevice by a presentation of the third service credential.
 34. Thecomputing platform of claim 30, wherein the at least one memory devicestores additional computer-readable instructions that, when executed bythe at least one processor, cause the computing platform to perform:rejecting the first subletting request based on an identity of thesecond client computing device.
 35. A method for providing cloudresources through a control point, the method comprising: procuring aprocured amount of cloud resources that are available from at least onecloud service provider; receiving, by the control point from a firstclient computing device, a resource request for cloud computingresources, wherein the resource request is indicative of a service typeand an initial amount of cloud resources; when the initial amount ofcloud resources does not exceed the procured amount, granting theresource request by sending a first service credential to the firstclient computing device; and subsequently providing cloud services tothe first client computing device by a presentation of the first servicecredential.
 36. A method of claim 35, further comprising: receiving, bythe control point from the first client computing device, a servicerequest, wherein the service request includes the first servicecredential and is indicative of a requested amount of re-allocated cloudresources; and when the first service credential is deemed valid and therequested amount does not exceed the initial amount, obtaining therequested amount of re-allocated cloud resources from the at least onecloud service provider.
 37. A method of claim 36, wherein the at leastone cloud service provider comprises a first and second cloud serviceprovider, the method further comprising: partitioning the requestedamount of re-allocated cloud resources into a first portion and a secondportion; obtaining the first portion from the first cloud serviceprovider; and obtaining the second portion from the second cloud serviceprovider.
 38. A method of claim 35, further comprising: receiving, fromthe first client computing device, a first subletting request to subleta first specified amount of re-allocated cloud resources to a secondclient computing device; and when the first subletting request isapproved, sending a second service credential to the second clientcomputing device; adjusting an available amount of cloud resources forthe first client computing device by the first specified amount; andsubsequently providing cloud services to the second client computingdevice by a presentation of the second service credential.
 39. A methodof claim 38, further comprising: receiving, from the second clientcomputing device, a second subletting request to sublet a secondspecified amount of re-allocated cloud resources to a third clientcomputing device; when the second subletting request is approved,sending a third service credential to the third client computing device;and adjusting a second available amount of cloud resources for thesecond client computing device by the second specified amount; andsubsequently providing cloud services to the third client computingdevice by a presentation of the third service credential.
 40. One ormore non-transitory computer-readable media storing instructions that,when executed by a computing platform cause the computing platform to:procure a procured amount of cloud resources that are available fromfirst and second cloud service providers; receive a resource request forcloud computing resources from a first client computing device, whereinthe resource request is indicative of a service type and an initialamount of cloud resources; when the initial amount of cloud resourcesdoes not exceed the procured amount, grant the resource request bysending a first service credential to the first client computing device;receive a service request from the first client computing device,wherein the service request includes the first service credential and isindicative of a requested amount of re-allocated cloud resources; andwhen the first service credential is deemed valid and the requestedamount does not exceed the initial amount, obtain the requested amountof re-allocated cloud resources from the first and second cloud serviceproviders.